Vetted Stakeholder Communication Professionals

Pre-screened and vetted.

PJ

Junior corporate development analyst specializing in M&A and investor relations

Holmdel, NJ3y exp
Avlino Inc.Arizona State University
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AK

Senior Paid Media & SEO Manager specializing in performance marketing and search strategy

Dallas, Texas6y exp
The Uptown Agency
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KM

Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS

Brampton, Canada16y exp
Chordline
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Kamilah Patterson - Senior HR Business Partner specializing in talent strategy and workforce analytics in Brooklyn, New York

Kamilah Patterson

Screened ReferencesModerate rec.

Senior HR Business Partner specializing in talent strategy and workforce analytics

Brooklyn, New York11y exp
GroupMBerkeley College

HR Business Partner with GroupM experience supporting multiple mergers, building and transitioning Analytics/Programmatic/Account Management teams through hands-on job architecture, benchmarking, and performance management. Uses HR analytics (including an Excel-based retention model with visual reporting) and cross-functional partnership with IT to reduce disruption and improve retention during restructuring and major policy changes like return-to-office.

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BG

Bhavana G

Screened

Mid-level GenAI Engineer specializing in AI agents and RAG systems

Mckinney, Texas4y exp
Capital OneSouthern Arkansas University

Built and deployed a production LLM-based RAG agent platform adopted by multiple business teams (Marketing, GTM, Recruiting, Customer Support) to automate knowledge search, Q&A, and content generation. Emphasizes production-grade reliability (grounding/validation/guardrails), rigorous evaluation/monitoring, and cost-aware scaling via model tiering, prompt/retrieval optimization, and caching using LangChain/LangGraph orchestration.

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MK

Mansoor Khan

Screened

Mid-level Conversational AI Developer specializing in enterprise chatbots and RAG

WI, USA6y exp
LivePersonConcordia University Wisconsin

ML/AI practitioner with hands-on experience deploying models to production and optimizing for low-latency inference using pruning/quantization, with deployments on AWS SageMaker and Azure ML. Has orchestrated end-to-end ML pipelines with Airflow and Kubeflow (ingestion through evaluation) and emphasizes reproducibility via containerization and version-controlled artifacts, while effectively partnering with non-technical stakeholders using dashboards and business-aligned metrics.

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Erik Moyer - Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML in Dallas, TX

Erik Moyer

Screened

Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML

Dallas, TX13y exp
EnumerateFlorida State University

Candidate states they are very familiar with the venture capital/studio/accelerator landscape and expresses strong willingness to pursue entrepreneurship "at all costs," but did not provide details on a current startup, business plan, fundraising, or prior accelerator/VC involvement during the interview.

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Ali Taquie - Junior Software Engineer specializing in AI and FinTech payments in Santa Cruz, CA

Ali Taquie

Screened

Junior Software Engineer specializing in AI and FinTech payments

Santa Cruz, CA2y exp
PaystandUC Santa Cruz

Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.

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AA

Agna Antony

Screened

Mid-level Data Engineer specializing in cloud-native healthcare and enterprise data platforms

Michigan, USA5y exp
MedStar HealthAPJ Abdul Kalam Technological University

Data Engineer (TCS) who owned an end-to-end CRM analytics pipeline for Bayer’s eSalesWeb integration, ingesting from Salesforce APIs/databases/S3 and serving analytics-ready datasets via PostgreSQL/S3 for Tableau. Drove measurable outcomes: ~60% reduction in manual data-quality effort, ~30% lower latency through SQL optimization, and ~35% improved stability via monitoring, retries, and idempotent processing.

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RP

Senior Full-Stack Engineer specializing in AI, backend systems, and supply chain platforms

Lawrenceville, NJ6y exp
Rutgers UniversityRutgers University

Full-stack engineer with hands-on experience spanning React/TypeScript frontends, Cloudflare serverless RAG systems, SQL-heavy backend redesigns, and computer vision workflows. He has shipped practical automation and reliability improvements with measurable impact, including cutting a video-validation reporting process from a week to 2 days and fixing a memory-heavy shipment system before Black Friday to support 30K+ orders successfully.

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NV

Director-level Performance Marketer specializing in Google Ads and GA4/GTM tracking

Barcelona, Spain17y exp
TopstepUniversity of Buenos Aires

Paid media/inbound marketer with experience managing high monthly ad spend in EMEA and Spain, including a regulated online betting environment. Built a content-led acquisition approach (YouTube/blog audience building) paired with remarketing and conversion campaigns, optimizing to CPL and lead quality while collaborating with CRM and external teams.

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SP

Surya Pavan

Screened

Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications

Baltimore, MD5y exp
AcerCalifornia State University, Northridge

GenAI engineer who has deployed production LLM/RAG chatbots for internal document search, focusing on reliability (hallucination reduction via prompt guardrails + retrieval filtering) and performance (latency improvements via caching). Experienced with LangChain/LangGraph orchestration for multi-step agent workflows and iterates using monitoring/logs and benchmark-driven evaluation while partnering closely with product and business teams.

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DA

Mid-level Business Analyst specializing in Healthcare IT and Banking operations

Scranton, PA4y exp
CVS HealthUniversity of Scranton

Cross-functional operator who regularly leads globally distributed work and acts as a bridge between product, UX, and analytics. Has driven reporting/dashboard and workflow automation initiatives with senior leadership, using data-backed communication and quick wins to improve adoption and efficiency.

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AR

Senior Customer Success Manager specializing in SaaS marketing platforms and analytics

San Francisco, CA8y exp
YesviteCalifornia State University, Long Beach

Enterprise Customer Success professional (Iron Mountain Services) who owns accounts end-to-end from onboarding through renewal, with a strong focus on driving adoption via success plans, stakeholder alignment, and integration unblocking across Product/Engineering/Sales. Also has adjacent martech/analytics exposure (Google Analytics, Search Console, SEO audit tools) and experience translating customer feedback and usage data into roadmap-impacting product requirements.

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AV

Entry-level Data Engineer specializing in ETL, analytics, and anomaly detection

Lubbock, TX1y exp
SiteProTexas Tech University

Worked on industrial pump analytics at SitePro, where they built an anomaly detector using messy sensor and pump data and used historical failure and maintenance cost analysis to make the business case to stakeholders. They combine SQL/Python data preparation with practical stakeholder communication around metrics like churn and operational impact.

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JF

James Furr

Screened

Senior Information Security leader specializing in cloud infrastructure and compliance

Charlotte, NC18y exp
Team VelocityCentral Piedmont Community College
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JG

Joshua Gudgel

Screened

Senior Full-Stack Engineer specializing in secure web applications

San Diego, CA8y exp
Forward Slope Inc.UC San Diego

Software engineer who has built both internal developer productivity tooling (a backend API supporting repeatable UI test data/mocking for Dapper) and a personal Go-based LLM workout coach using Gemini and structured logs/config. Emphasizes maintainability and reliability via scalable UI component tagging (Telerik), audit logs, and reproducible Dockerized environments; targeting $160k base.

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Bharath Lingireddy - Mid-level Supply Chain Analyst specializing in strategic sourcing and supply chain analytics in Spring, TX

Mid-level Supply Chain Analyst specializing in strategic sourcing and supply chain analytics

Spring, TX5y exp
HPSouthern New Hampshire University

Sourcing/procurement professional focused on electronic components, leading end-to-end RFQ and supplier selection through negotiation and delivery. Demonstrates strong data-driven cost management (Power BI modeling, benchmark pricing) and measurable results including ~18% cost reduction, avoiding production delays during shortages, and automating RFQ comparisons to cut cycle time ~40%.

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Suraj Thangellapally - Junior Software Engineer specializing in machine learning and data science in San Jose, CA

Junior Software Engineer specializing in machine learning and data science

San Jose, CA2y exp
dataAnnotationUC Irvine

Python backend engineer who built a personal LLM-powered AI code review tool that parses code into context-preserving diff chunks and uses the OpenAI API to analyze and summarize changes. Has hands-on Kubernetes deployment experience (replicas, rolling updates, ConfigMaps/Secrets, health probes) and follows GitOps-style, declarative CI/CD workflows; also has experience designing streaming/event-style processing with attention to reliability and observability.

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Brian Mar - Senior Data Engineer specializing in data infrastructure and marketing/CRM analytics in San Mateo, CA

Brian Mar

Screened

Senior Data Engineer specializing in data infrastructure and marketing/CRM analytics

San Mateo, CA8y exp
Full Circle InsightsUC Davis

Salesforce-focused implementation/solutions engineer from Full Circle Insights who owned end-to-end campaign attribution and reporting deployments for multiple customers at once (3–5 concurrently), including sandbox testing, KPI monitoring, and rollback-safe migrations from legacy reporting. Also builds personal multi-agent workflows and uses Claude Code to rapidly scaffold data/analytics scripts like an advertising optimization parser over CSV/XLSX inputs.

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SR

Shreya Reddy

Screened

Mid-level Business Data Analyst specializing in healthcare analytics

USA6y exp
Cardinal HealthSouthern Illinois University Carbondale

Analytics professional with Northern Trust experience focused on investment portfolio reconciliation and reporting. They combine SQL, Python, and Power BI to clean and validate high-volume financial data, automate manual processes, and align operations and accounting teams on shared metrics—driving roughly 20% improvement in reconciliation accuracy.

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PS

Senior venture investor specializing in early-stage deal sourcing

New York, NY7y exp
Magnivia VenturesNYU

Early-stage venture sourcing professional from Magnivia Ventures with a strong track record of proactively building founder relationships months before a raise. Stands out for combining high-volume outbound, sector mapping, and value-add relationship nurturing to win early access to seed opportunities and move promising founders into diligence quickly.

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LG

Luke Greely

Screened

Mid-level Software Engineer specializing in banking technology and reporting

Ohio, USA4y exp
PNCUniversity of Cincinnati

Developer in the mortgage domain who owns regulated client-letter and reporting changes across front-end scripting, serverless testing environments, and SQL/reporting workflows. They stand out for improving release operations by introducing SOAP UI testing, which nearly doubled letter-update throughput even while serving as the only developer on these projects, and for quickly resolving production issues within 24 hours.

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